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Re:Facebook Must Really Suck At Machine Learning by mattzito on Friday November 18, 2016 @07:19PM (#12991128)
My suspicion is that it's not that Facebook sucks at machine learning, but that they are scared of public backlash when their algorithm accidentally takes a story from Breitbart and classifies it (arguably correctly) as fake news. At that point Facebook is derided as a tool of the liberal msm (after all it's run by liberal Silicon Valley technocrats), and from there eyeballs go elsewhere and Facebook is harmed.

Better for them to feign ignorance and lie to themselves.

Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @07:56PM (#12991321)
You're 100% correct. Look at all the backlash they got because their human editors wouldn't put fake news into the trending topics and that fake news happened to be conservative.

Even look in this comment thread. You have people insisting that Breitbart is a highly reputable site (that just happens to promulgate far-right conspiracy theories) while mainstream news is supposedly "fake" because they incorrectly forecast an election.

Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @08:06PM (#12991363)
I was merely pointing out that "fake" is more of a propaganda, not a completely black and white issue.

Or do you think it's a coincidence the "fake news" story only broke after the "non-fake" media lost the election, not before while they were still very confident they'd win?

Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @08:14PM (#12991409)
> I was merely pointing out that "fake" is more of a propaganda, not a completely black and white issue.

Don't pretend that your comment history doesn't display a clear Trump bias.

There might be some difficult cases at the margin, but lots of fake news is very easy to spot. No, ISIS was not founded by Clinton. No, Obama is not instituting Sharia law. No, George Soros is not hacking voting machines.

> Or do you think it's a coincidence the "fake news" story only broke after the "non-fake" media lost the election, not before while they were still very confident they'd win?

No, I don't think it's a coincidence. It seems very natural that new events would shine an event on existing trends. Or perhaps do you think that Islamic terrorism only began on 9/11, or that mortgage fraud began in 2008?

Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @08:18PM (#12991426)
I like to think that my comment history displays mostly a contrarian (vis-a-vis mainstream) bias, although admittedly that would seem pro-Trump to most HN users (I think yummyfajitas is often the target of similar accusations).
Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @08:25PM (#12991453)
You can "like to think that" but there's a difference between being "contrarian" and partisan.

Though I might disagree with yummyfajitas on things, he at least brings data and arguments to back up his claims instead of just asserting that the MSM is obviously fake and biased.

Re:Facebook Must Really Suck At Machine Learning by candiodari on Friday November 18, 2016 @09:51PM (#12991787)
> No, I don't think it's a coincidence. It seems very natural that new events would shine an event on existing trends. Or perhaps do you think that Islamic terrorism only began on 9/11, or that mortgage fraud began in 2008?

So instituting censorship (since you agree there is a bias in your previous paragraphs) to affect the outcome of an election is:

1) acceptable

2) you DO realize the keys to the kingdom will be handed off to Trump, Pence and Steve Bannon, right ? Really think about what you're doing here. You're mounting a bigger gun on a tank that will be driven by Trump. Do you seriously not realize who it'll be firing at ?

But clearly you think things like censorship are acceptable as long as you agree with them. Hell, it seems the entire democratic establishment agrees with it. Why ? Just to not offend Hillary Clinton ? Fuck that.

Trump won because he showcased the ugly side of the democratic party and Hillary Clinton in particular, quite successfully. And what is being done in response ? Dig deeper. Of course the issue MUST be that they're being shown in the wrong light by "fake" articles. Even if that actually is the issue you should still assume it's not.

I would love it if this whole nonsense stopped, and some serious introspection would be done instead. How about we declare that Middle America's white supremacy fringe is about as offensive as Islam's sharia laws, that underwear toting rednecks with guns are pretty much the same thing as child-raping muslim "revolutionaries", and should be ignored and marginalized WITHOUT marginalizing the entire population there, and since they are having a hugely difficult time, they deserve the same protection and help and state action that minorities get (they are, by the way, a minority) ?

Now THAT would help the next president to be democratic. THAT is what we should do.

Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @09:59PM (#12991815)
I'm not sure where you go the idea that I support instituting censorship. You seem to have written an entire comment attacking a non-existent strawman.

To make it unequivocally clear: no, I do not think the government should be in the business of censoring news (fake or not).

Re:Facebook Must Really Suck At Machine Learning by candiodari on Friday November 18, 2016 @10:48PM (#12991970)
So what exactly do you think this anti-fake-news thing is ? You agreed that it's at least partially a matter of perspective.
Re:Facebook Must Really Suck At Machine Learning by akytt on Saturday November 19, 2016 @01:16AM (#12992327)
Government vs. private. A media outlet has a full choice in terms of what they send out. They can self-censor and always have. But the government has no business in telling _all_ media what they can or cannot publish. Fake news at its core is not subjective at all. Is Obama on record anywhere saying "I want to institute sharia law"? No. you can write an opinion piece if you think this is the case or have facts but its not _news_ and should be labeled so.
Re:Facebook Must Really Suck At Machine Learning by candiodari on Saturday November 19, 2016 @03:25AM (#12992579)
Reading those "fake" news stories I would say that they don't actually claim that. Now, I am sure there's an exception, but I haven't found one and I've honestly read every article in the first 2 pages of google results for "Obama sharia law".

Most take offence at Obama defending muslims and sharia law, voluntary application of sharia law that is, after Newt Gingrich's call for mass-deportation. They do not claim Obama said anything he didn't say. Obama was very political, leaving out any actual controversial statement.

So I don't think, on the whole, that your statement is fair. These articles mostly lack quality, so they're easy to attack. They're not wrong, in a strict sense. Clickbaity, spammy, unpleasant, even misleading ... yes. Wrong, no.

And I have no trouble whatsoever finding all those properties in articles linked from the homepages of CNN, MSN, ... especially in the business and science sections. And I have to say, I am against Trump, but most of the frontpage stuff I would agree if anyone said half of them were hit pieces.

Re:Facebook Must Really Suck At Machine Learning by meira on Saturday November 19, 2016 @11:05AM (#12994028)
Lol. Are you saying ISIS was not founded by Hillary? What proof do you have?
Re:Facebook Must Really Suck At Machine Learning by malz on Friday November 18, 2016 @07:50PM (#12991285)
It's not just a suspicion, it's right in the title of articles like "Facebook's Fight Against Fake News Was Undercut by Fear of Conservative Backlash"

http://gizmodo.com/facebooks-fight-against-fake-news-was-und...

Re:Facebook Must Really Suck At Machine Learning by grzm on Friday November 18, 2016 @07:52PM (#12991299)
Well, to be fair, we've all seen recently how titles are often not an accurate representation of the content of the post :)
Re:Facebook Must Really Suck At Machine Learning by wildmusings on Friday November 18, 2016 @07:28PM (#12991167)
This whole fake news thing is ridiculous. Where is all of the outrage at CNN telling its viewers, falsely, that it's illegal for them to read Wikileaks?

https://www.youtube.com/watch?v=d_Wtu8Pzvd4

>“Also interesting is, remember, it’s illegal to possess these stolen documents. It’s different for the media. So everything you learn about this, you’re learning from us.”

CNN has yet to apologize for, or even retract, this.

Where is the outrage at all of these "real news" outlets coordinating their messaging with the DNC? Where is the shock at them asking the DNC for questions to pose to Trump? Or the concern that Hillary Clinton was given multiple debate questions by a CNN employee?

The simple fact is that almost all media is propaganda. Depending on anyone, or anything, to protect you from "fake news" is laughable.

Re:Facebook Must Really Suck At Machine Learning by jwtadvice on Friday November 18, 2016 @07:38PM (#12991212)
The media industry in the United States, primarily because it functions as a propaganda medium for state narrative, has increasingly been losing credibility with its audience.

The 'fake news' thing, the 'troll' thing before that, the 'political spam' thing before that: these are attempts to prevent the manifestations of credible alternatives that can attract funding, challenge the doctrinal ideology espoused by the network of media, or further disrupt the reputation of the current infrastructure for engaging in public diplomacy.

Re:Facebook Must Really Suck At Machine Learning by jwtadvice on Friday November 18, 2016 @07:43PM (#12991249)
A bit ridiculous that I'm being downvoted for misspelling "its" as "it's". I've now corrected it in the above post.
Re:Facebook Must Really Suck At Machine Learning by grzm on Friday November 18, 2016 @07:49PM (#12991282)
I'm often curious why particular comments are down voted, so this caught my eye. Why did you come to the conclusion that it was due to a typo? That said, I don't have an alternative theory.
Re:Facebook Must Really Suck At Machine Learning by jwtadvice on Friday November 18, 2016 @07:52PM (#12991300)
I wasn't certain, but it was the only grammatical error I could see in the comment.
Re:Facebook Must Really Suck At Machine Learning by grzm on Friday November 18, 2016 @07:56PM (#12991326)
Do you know it was due to grammar? I've seen mention that some people will down vote for disagreement, for example.
Re:Facebook Must Really Suck At Machine Learning by jwtadvice on Friday November 18, 2016 @07:59PM (#12991340)
I hadn't considered it. The HN crowd is a lot better at understanding that downvotes are for comments that do not contribute to the conversation, rather than what they disagree with.

Maybe that's a more popular trend now? Having been active on HN for a long time and watched it evolve I guess I could see that...

Anyway, the branch of the conversation has gotten quite deep down the 'meta' rabbithole.

Re:Facebook Must Really Suck At Machine Learning by grzm on Friday November 18, 2016 @08:00PM (#12991348)
Agreed. Thanks for the feedback!
Re:Facebook Must Really Suck At Machine Learning by praisewhitey on Friday November 18, 2016 @07:42PM (#12991245)
You and the people writing these articles need to take a less US-centric view of this situation. This has been going on for a long time in non-English speaking communities.

My hope is that now that it has become very noticeable in the US maybe they'll do something about it, but it's entirely possible they do nothing for the reasons you said.

Re:Facebook Must Really Suck At Machine Learning by tsneed290 on Friday November 18, 2016 @07:48PM (#12991271)
Could you expand on this? I'm genuinely curious.
Re:Facebook Must Really Suck At Machine Learning by cpeterso on Friday November 18, 2016 @08:09PM (#12991380)
How do people (readers or news agencies) handle this problem in non-English speaking communities? I'm curious what approaches have already been tried.
Re:Facebook Must Really Suck At Machine Learning by praisewhitey on Friday November 18, 2016 @09:03PM (#12991591)
Until the 2000s there was only one evening news broadcast and a few newspapers. But most people didn't bother with those and got their informations from friends and family. It was mostly nonsense before Facebook too. Facebook just made it digital and public.

And that's the problem. The people who make up this stuff can see when it's being shared, and commented on, and what resonates most with people. They can write up the perfect crazy story for my Mom and Uncle to talk about like they have done for the past 60 years.

I can go in and say this is fake, don't believe anything you read from this website or facebook page, and sometimes they'll believe me. But that doesn't stop the content from flooding in.

The only thing I can think of is getting people to stop using Facebook altogether.

Re:Facebook Must Really Suck At Machine Learning by touzen on Saturday November 19, 2016 @05:57PM (#12996205)
In Sweden, we have had numerous incidents where fake news has been spread with the purpose of spreading anti-immigrant sentiment. A recent example is a rumour stating that we had banned christmas decorations as it might offend muslim immigrants. What actually happened was that the Swedish Transport Administration had urged people not to decorate street poles as it might be a violation of our electricity laws. [0]

We haven't really figured out how to address these issues. The best we've got now is an initiative by Metro called Viralgranskaren (~"viral post inspector") that debunks myths like these. [1] What I think needs to happen is for the education system to start putting a larger emphasis on skepticism and source criticism. These skills and qualities are crucial for a 21th century liberal democracy.

[0]: http://www.snopes.com/sweden-bans-christmas-lights/

[1]: http://www.metro.se/nyheter/viralgranskaren/ (sadly only available in Swedish, it seems)

Re:Facebook Must Really Suck At Machine Learning by tomrod on Friday November 18, 2016 @08:01PM (#12991349)
I don't see any downside in this scenario, especially if Brietbarters leave FB en masse. I'm not sure there is another network they can presently go to due to massive network effects.
Re:Facebook Must Really Suck At Machine Learning by cpeterso on Friday November 18, 2016 @08:10PM (#12991387)
Brietbarters leaving Facebook en masse is bad for business. Shareholder value is Facebook's primary interest.
Re:Facebook Must Really Suck At Machine Learning by serge2k on Friday November 18, 2016 @07:54PM (#12991309)
> Breitbart and classifies it (arguably correctly) as fake news

Yeah, fine line between fake news and something that is just extremely slanted.

where that ridiculous stuff about the podesta "spirit dinner" fall?

Where does something like this

https://fellowshipoftheminds.com/2016/10/22/wikileaks-podest...

fall? It's based on an email, but the content is, IMO, pretty low quality. It talks about unrelated things, and ignores context to portray a skewed version of facts.

Despite that, you could argue that yes it is a fact based news source and should be allowed.

Re:Facebook Must Really Suck At Machine Learning by hga on Saturday November 19, 2016 @06:42AM (#12993025)
It's rather less ridiculous when you look at the artwork he displays in his office and home.

I believe that's one of the things that gave all this traction, something is seriously wrong here, even if it's just a few sick souls. One of whom just happened to be the chairman of Hillary's campaign.

If you believe the Clinton Machine is evil, and you're open to supernatural explanations for evil (I myself am not willing to rule them out), well, we can go so far as demonic possession, that's straight out of the New Testament, Jesus driving demons out of people.

Re:Facebook Must Really Suck At Machine Learning by RockyMcNuts on Saturday November 19, 2016 @08:05AM (#12993309)
Well, if I see one more utterly fake story passed off as news, and if the horror show of disgusting comments e.g. "Obamas are apes" infects my stream, I'm going to go elsewhere. Let FB turn into 4chan if it wants to, without me.
Re:Facebook Must Really Suck At Machine Learning by basch on Saturday November 19, 2016 @12:22AM (#12992224)
its probably somewhat hard to separate parody too, sometimes the only thing that makes it parody is the context or people the message is sent to. it could be an inside joke not meant to be taken literally.

for example, say i am a hillary fan, and i say to another hillary fan "hillary is a criminal" as a way to mock people who say that. will facebook know when something is insincere and in jest?

How much of the hoopla around Sessions is "fake"?

Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @07:24PM (#12991151)
Funny you mention Breitbart, it's one of the rare media that didn't predict a landslide victory for Hillary.
Re:Facebook Must Really Suck At Machine Learning by notheguyouthink on Friday November 18, 2016 @07:28PM (#12991168)
I don't have a dog in this show, but wouldn't that be quite reasonable/expected if they are skewed towards Republican/Trump?
Re:Facebook Must Really Suck At Machine Learning by snewk on Friday November 18, 2016 @07:34PM (#12991191)
i think the bigger question in wake of hillary's missing landslide, is whether facebook may actually be classifying CNN et. al. as 'fake' news.
Re:Facebook Must Really Suck At Machine Learning by serge2k on Friday November 18, 2016 @07:59PM (#12991344)
Poor polling data doesn't mean you are publishing fake news.
Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @07:38PM (#12991211)
A better example would be NYT or WSJ, as CNN is obviously fake news [1].

[1] https://www.washingtonpost.com/news/volokh-conspiracy/wp/201...

Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @07:40PM (#12991221)
Not according to my logic, no. If I wanted a candidate to win, I'd imagine it would be better for me to propagandize predictions that my candidate would lose, as to motivate more of his/her supporters to actually vote.
Re:Facebook Must Really Suck At Machine Learning by thesimpsons1022 on Friday November 18, 2016 @07:43PM (#12991248)
according to your logic then the MSM is all biased for trump and breitbart is biased for hillary. sounds legit.
Re:Facebook Must Really Suck At Machine Learning by cderwin on Friday November 18, 2016 @09:09PM (#12991609)
I don't agree with tomp's reasoning but you are confusing cause and effect. If tomp is correct, it only implies that a news outlet biased towards one candidate would predict a victory for the other, not that every media outlet predicts a victory a candidate they are biased against.
Re:Facebook Must Really Suck At Machine Learning by candiodari on Friday November 18, 2016 @10:21PM (#12991894)
Because of extreme amounts of arrogance on the democratic side, this is actually what happened. It's the same as you hear from Russians. If something's in any big newspaper, it is

(a) fake

(b) it is rather obvious what the truth is

I'm not saying this is the level the MSM has dropped to, but it most certainly is where it's going.

I'd also like to say that this is what's happening to large media worldwide, and is in fact being used to marginalize the victims of the current economic climate.

Exactly what leftists SHOULD NOT do, if anything they should err on the side of the poor.

http://edition.cnn.com/2016/09/14/opinions/america-doing-bet... (and 1000s other articles)

vs

http://www.wsj.com/articles/election-2016-is-propelled-by-th...

and the "fake news" version of it

https://www.videoblocks.com/video/detroit-ghetto-driving-1-d...

Now read the Hillary articles again, assuming you 100% believe the above links and what they mean about the MSM. I think you'll understand better what is happening.

Frankly the MSM lies about economic facts that are very much in the face of a hell of a lot of people, and that causes people to not trust them anymore. This seems natural, and ... censorship of fake news will make this worse, not better (or better put: I have enough Russian friends and stories from them certainly indicate it will).

But as someone who regularly visits Middle/Eastern Europe but does not live there I see the same thing. I read the newspapers and ... I just don't believe them. The difference with the country I see when visiting is too great. Online fora, filled with locals are easy to find and while filtering absolutely is a necessity, they are generally telling the truth. There are areas where it is worse, e.g. immigrants (and whether or not a particular town was seriously damaged/looted during a "protest" march), but it is certainly true in general. And yes, these fora do not put forward the view the American left has of the world. They don't like immigrants (too many stories of looting, extremely poor work ethic, attacks, criminal behavior, ... combined with stories of the government working against the victims. It is extremely hard to not believe all of them when you've had 2 friends tell you one. In confidence, because they were afraid of retaliation at work.

I think that's one thing people don't realize. The main fake news, in terms of reach, are sites like reddit, and it's country-local alternatives.

But the story goes like this: they had rented a "work" apartment, a place to sleep close to work for during the week, avoiding a commute after a long day at work. Work is in the middle of the capital city, surrounded by immigrant neighborhoods, so this apartment was in an immigrant neighborhood. They got constantly treated very unfriendly in the hallways, but that, they can take. One day a few obviously muslim youth stormed in, speaking French, screaming to eachother how it's their right to rob kuffar (arabic word meaning infidel in the sense of non-muslim, or cockroach), lots of screaming, obviously high. They broke the tv they were stealing, and beat my friend and his colleague in revenge for that. They had guns, took several macbooks, their cell phones and wallets, beat them up, and took their time to smash up the place. At the hospital they could not see a police officer, they knew where the police office was in the hospital, but there was no-one there that wanted to see them, so they went to the police station 2 days later. The police refused to take down a complaint ... They reported it at work and a director called them in that they were not to talk about it or they'd "face consequences", as those assholes say. Why ? Because nothing good could come of this. Either the story dies and they'll be frustrated, or the story gets attention ... and, the director felt, city hall would be mad, and there might even be an attack on the hospital in revenge for the story. And just so we're clear, I know these people. This happened, in the sense that I know one of the 2 people this happened to.

Now this is one data point, and I get it, it's not like crime is new to that part of town (violent crime like that is, though, pickpocketing is what it used to be). It's the reaction to it that makes me believe a lot of far right nuttery. If you read the newspapers, you'd think this was a harmonious neighborhood with everyone living together peacefully. Regular initiatives and public displays about how integrated everyone is, but, and this is important, a drive through it will make it incredibly obvious that there is exactly one ethnic group living there, or if others are living there, they're certainly not willing to show their faces on the street. The neighborhood has a reputation that women cannot go there and you should, under no circumstances, take your girlfriend there, but as a man you can eat there, eat well, and cheap (and there's lots of businesses where one might work nearby, including a huge hospital), but don't take expensive phones or a wallet with either your ID or more money than you'd need to eat. There are no businesses, not a single one, that is owned by anyone from even a slightly different ethnic group.

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @07:50PM (#12991286)
Never followed or watched Breitbart, but CNN and friends presented it as a poll, presumably done with rigor and impartiality. Either they couldn't afford to pay their statisticans or they deliberately fudged them and lied.
Re:Facebook Must Really Suck At Machine Learning by BinaryIdiot on Friday November 18, 2016 @08:14PM (#12991404)
> Either they couldn't afford to pay their statisticans or they deliberately fudged them and lied.

So it's only those two options? It's not possible that the polling was just flawed or wrong but it's they can't pay them (implying they have shit statisticians) or they lied?

Not a fan of most of the media but come on there are more options here. It was a tough election to predict. Bringing in two, fairly unpopular candidates is going to create some interesting results.

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @09:47PM (#12991765)
> So it's only those two options?

The implication was that they fudged their data to make a candidate look better. Clearly they have the money to pay for the poll and statisticians.

The more I think about the more it is seems one of the reason for the loss was this overconfidence. News channels were often way too happy to put up a map with Hillary in the 400+ points and the whole map being blue. They believed that would just discourage those voting for Trump to show up. In their it was a terrible blunder (or win depending who you support), in the end more people who would have voted for the Democrats stayed home.

Re:Facebook Must Really Suck At Machine Learning by hga on Saturday November 19, 2016 @06:55AM (#12993065)
Overconfidence is certainly a story we're getting out of the Clinton campaign; WRT to the Rust Belt where she decisively lost the election:

Bill's advice to put effort into was ridiculed.

Russ Feingold, who was as far as I know honestly expected to win his election for Senator (note he'd just lost the seat 6 years earlier in the off-season 2010 Republican langslide), desperately asked for help towards the end of the campaign and was ignored.

It's been reported that a computer system named Ada was driving pretty much all these sorts of decisions, and it said the Rust Belt was safe.

And there are some other things I think I'm forgetting this early in the morning, anyway, just how wrong this was is demonstrated by how close Minnesota ended up. If Team Trump had realized the opportunity there earlier and put more resources into it, he might well have won it. That that Democratic (well, DFL) bastion was in play....

Re:Facebook Must Really Suck At Machine Learning by nl on Saturday November 19, 2016 @07:34AM (#12993211)
Or their models were bad?

Take a look at the open source election models. They all make similar mistakes in that they don't properly propergate sources of errors from polls into their prediction. 538 did a good job but was criticised for it.

I don't think you need a conspiracy when simple incompetent will do.

Re:Facebook Must Really Suck At Machine Learning by opsiprogram on Friday November 18, 2016 @07:59PM (#12991341)
tomp maybe Breitbart got brought up for content like this: http://www.breitbart.com/tech/2015/12/08/birth-control-makes...

It's mostly unsubstantiated claims, without scientific rigor to back them up (ex: they cite papers but misrepresent the findings), and heavily mixed with personal opinion. Breitbart may have been right about the election, but that doesn't really seem to be because the website is dedicated to clear objective journalism... Wouldn't you agree?

Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @08:08PM (#12991373)
> It's mostly unsubstantiated claims, without scientific rigor to back them up (ex: they cite papers but misrepresent the findings), and heavily mixed with personal opinion.

Sounds like pretty much any non-scientific media citing scientific articles.

Re:Facebook Must Really Suck At Machine Learning by opsiprogram on Friday November 18, 2016 @08:12PM (#12991395)
Okay, so other news sources also can be biased/wrong/misrepresent science ... how does that make this Breitbart article more accurate? or Breitbart a more objective news source?
Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @08:15PM (#12991417)
Nah, same bullshit (neither more nor less fake), just in the other direction. Best to read both left-ist and right-ist media to avoid bias. Although personally I sometimes find Breitbart more agreeable, as they seem opposed to political correctness and unafraid of voicing inconvenient truths (opinions?).
Re:Facebook Must Really Suck At Machine Learning by hga on Saturday November 19, 2016 @06:59AM (#12993085)
It's Milo being Milo, which any regular reader of Breitbart, or anyone sensitive to nuance and style, would realize is more opinion than official un/less biased "news".
Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @07:48PM (#12991269)
Incorrectly forecasting an election result (where polls ended up having substantial errors) is hardly "fake" news.
Re:Facebook Must Really Suck At Machine Learning by tomp on Friday November 18, 2016 @08:11PM (#12991391)
Presenting the election result as 98% certainty is either fake or insanity (for context, that would mean (on average) only 1 wrong prediction in 200 years of US presidential elections).

Edit: admittedly, that was Huffington Post, hardly a standard for good journalism. E.g. NYT had 80%, 1 wrong in 20 years, which is still quite optimistic IMO.

Re:Facebook Must Really Suck At Machine Learning by dllthomas on Saturday November 19, 2016 @01:12PM (#12994692)
Isn't 98% certainty "1 wrong in 50 years", and 80% "1 wrong in 5 years"?
Re:Facebook Must Really Suck At Machine Learning by tomp on Saturday November 19, 2016 @08:41PM (#12996801)
No, it's "1 wrong out of 50 events", but elections are only every 4 years.
Re:Facebook Must Really Suck At Machine Learning by dllthomas on Saturday November 19, 2016 @11:00PM (#12997197)
Ah, that's what I was missing. That said, regardless of how often these events are occurring, we shouldn't be all that surprised by a 1/5 event.
Re:Facebook Must Really Suck At Machine Learning by dllthomas on Sunday November 20, 2016 @03:40PM (#13001078)
Thinking further about this, I think framing it in years is highly misleading. If we imagine an event that occurs once every ten-thousand years, with even probability of two outcomes, then if I pick one of the two as my guess and I correctly assign a 50% probability, you can say "you're saying your guess will only be wrong, on average, once every twenty-thousand years!" That's technically true, but I'm clearly not making too bold a claim!
Re:Facebook Must Really Suck At Machine Learning by tomp on Sunday November 20, 2016 @05:40PM (#13001716)
Yeah I sometimes question the sensibility of even trying to assign probability to what are essentially one-time events. I prefer to think of it, the probability is either 0% or 100%, we just don't know it yet!
Re:Facebook Must Really Suck At Machine Learning by dllthomas on Sunday November 20, 2016 @09:10PM (#13002546)
In a deterministic universe, there's a sense in which that's always the case. But really, probability is always "given the information available". "I know everything about a deterministic universe" is just a special case.

Related to the broader topic: https://en.wikipedia.org/wiki/Scoring_rule#Proper_scoring_ru...

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @07:57PM (#12991330)
The fake part comes into play if you think they lied and pushed the wrong results, but presented them as "scientific".

Note it was not just a small mistake. They presented Hillary having a massive landslide, and instead she delivered the worst Democratic performance in 20 years.

Something doesn't add up...

Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @08:06PM (#12991364)
Frankly, this is an incredibly stupid argument and I'm sick of hearing it. Incorrectly forecasting the future is a far cry from incorrectly reporting facts. Nobody said it was a fact that Clinton would win.

Where do you think they "lied?" Even simple poll averages showed Hillary was ahead.

I'm willing to admit that they overestimated the chances of a Clinton victory. Nate Silver's 60% was a lot more realistic than the 90% the NYT was pushing. But having a poor prediction model is a lot different than falsely reporting the past.

More importantly, it's totally incoherent. If the MSM was tilting their model to try to get Hillary elected, the worst thing they could do would be to present it as a sure thing (depressing turnout).

Also, for the record, Clinton won the popular vote. So the polls got the popular vote percentage right.

State polls were a lot more noisy and infrequent—it's not that surprising that there was a polling miss.

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @08:31PM (#12991467)
> Frankly, this is an incredibly stupid argument and I'm sick of hearing it.

Sorry. Didn't know you heard this before. Yeah the argument is misguided perhaps, but "incredibly stupid"? I don't know, I think you're being a bit harsh.

> Where do you think they "lied?"

They lied who they polled and how they fudged the results

> Incorrectly forecasting the future is a far cry from incorrectly reporting facts.

It is not far cry. This is one organization which has lost its credibility because it routinely lied and misconstrued facts, cheated during debates. I don't see as suspicious that they fudged the models to make her look good as "incredibly stupid", but again you have your opinion, so that's cool.

> More importantly, it's totally incoherent.

Sometimes maliciousness and coherency doesn't go together. Again, I would say it might be "mildly incoherent" but not "totally". You can just as well say they wanted her to look good to discourage anyone voting for the other candidate, which indeed jives with the rest of the rhetoric.

> Also, for the record, Clinton won the popular vote. So the polls got the popular vote percentage right.

What does that have to do with anything? Are you saying, she is a top experienced politician, lawyer, with a stellar team of experts, media behind her back, President, DNC, may large corporate donors and she didn't know that she had to win electoral college votes and just got a little confused?

> State polls were a lot more noisy and infrequent—it's not that surprising that there was a polling miss.

Somehow the "idiot" Trump managed to poll in the right states at the right time make Hillary deliver the worst Democratic election results in more than 20 years. If a dummy can do it, surely it was possible to poll properly.

Re:Facebook Must Really Suck At Machine Learning by morgante on Friday November 18, 2016 @08:41PM (#12991509)
> They lied who they polled and how they fudged the results

Care to provide evidence that dozens of independent pollsters all colluded to fudge results?

> It is not far cry.

Yes it is. Do you really not see the difference between me saying "it's raining outside" (when it's not) and saying "I think it's going to rain tomorrow" (and it doesn't).

> What does that have to do with anything?

It has a lot to do with it. The primary input into most forecasting models was national polling data. And national polls ended up being correct: Clinton won the national popular vote.

I'm not sure why you think Trump managed to poll better than the media. He spent months railing about how the election was rigged and he might not accept the result—if he was convinced he'd win, he wouldn't be wasting effort on that.

You're not even mentioning betting markets. Do you think thousands of independent people bet money in order to incorrectly portray Clinton as having a lead?

If you want to assert a global conspiracy to subvert reality, please bring data.

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @09:17PM (#12991649)
> "I think it's going to rain tomorrow" (and it doesn't).

Not if your job is to predict rain and you somehow completely missed the that there's going to be a massive rain-storm. And you also happened to own a company which sells umbrellas on the street corner.

> It has a lot to do with it.

Well, ok, I take it back. It has a lot to do with them failing to predict it because they relied on the popular vote.

> Care to provide evidence that dozens of independent pollsters all colluded to fudge results?

I didn't say they colluded. They fudged their models by being in denial and wanting to see a certain candidate win. Someone doing it as a hobby is understandable. But when they are paid a pretty penny for it, then it borders into dishonesty.

All actors doing the same thing doesn't imply it is a cabal and they all colluding. They simply have to have the same incentives.

Surprisingly one of the polls that does measure enthusiasm the Daybreak poll from USC did predict a win for Trump http://cesrusc.org/election/

> Do you think thousands of independent people bet money in order to incorrectly portray Clinton as having a lead?

The probably took the cue from the media.

> He spent months railing about how the election was rigged and he might not accept the result—if he was convinced he'd win, he wouldn't be wasting effort on that.

But wasn't that a much better strategy, as overconfidence lead to people staying home. That idea is probably not novel to him or his team!

We've all heard how dumb he is, yet somehow he knew exactly which states to go to, doing up to 6 speeches a day, in seemingly just at the right places. He got lucky a few times, maybe in primaries, but he seems to keep getting lucky consistently.

> If you want to assert a global conspiracy to subvert reality, please bring data.

Would you say reality was subverted already? We have a TV personality as a President. This is the stuff they put in comic books. Conspiracy here is called overconfidence, cockiness and complacency. That's the conspiracy. We can make fun of and call Trump supporters names as much as we want. But in the end Hillary had a very expensive gun (the media) and she went ahead and shot herself in the foot with it. I think that is one of the primary reason people didn't vote -- they saw the map with 400+ electoral college votes in her favor and 1% chance for Trump to win. But in the end it is those pesky KGB agents and Fake News that we are blaming... The more we blame them. The more Trump will keep winning.

Re:Facebook Must Really Suck At Machine Learning by enraged_camel on Friday November 18, 2016 @08:06PM (#12991365)
Note that national polling was fine. It was the state polls that turned out to be hugely inaccurate. That doesn't mean they were "unscientific," but that they made some mistakes with their polling methods.
Re:Facebook Must Really Suck At Machine Learning by rebuilder on Friday November 18, 2016 @08:06PM (#12991367)
Perhaps the electoral system is the missing variable you're looking for.
Re:Facebook Must Really Suck At Machine Learning by dragonwriter on Friday November 18, 2016 @08:15PM (#12991416)
No mainstream prediction I saw predicted a massive Clinton landslide; most predicted a slightly larger popular vote victory than actually occurred.

Some, though not the best regarded, gave a Clinton victory a very high probability, largely because they modelled state-level variability as independent rather than highly correlated, an error that 538 called out explicitly.

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @08:35PM (#12991483)
Most were also biased in her favor. That was the big learning experience for me in this election. She had an unprecedented support from media, unlike few other candidates. I think even Fox (the traditional Republican faux-news channel) didn't like him very much.

Yeah I don't know the answer, what the mistake was. I'd want to know. I suspect some never responded or wanted to participate. Those who participated, said they'd vote for someone else but changed their mind. They used registered phone numbers and some people more consistently paid to have their number de-listed...

Re:Facebook Must Really Suck At Machine Learning by hga on Saturday November 19, 2016 @07:07AM (#12993114)
Yes, from what I've read Fox was very anti-Trump, aside from a few of its figures who's contracts have not inspired.

I mean, this election was used as an opportunity to mount a successful coup ousting its founder, who'd, BTW, announced a couple of years ago that the network was moving to the left anyway....

Re:Facebook Must Really Suck At Machine Learning by sndean on Friday November 18, 2016 @08:10PM (#12991385)
> instead she delivered the worst Democratic performance in 20 years.

Elections don't happen that often... so it's just a comparison against fellow losers Gore and Kerry.

And Kerry lost by both the popular vote and the electoral vote.

Re:Facebook Must Really Suck At Machine Learning by rdtsc on Friday November 18, 2016 @08:57PM (#12991565)
Bill Clinton and Obama, they had a better numbers. Dukakis only was worst and was early 90 or so. And that is despite her having such a well funded campaign.
Re:Facebook Must Really Suck At Machine Learning by hga on Saturday November 19, 2016 @07:12AM (#12993133)
And anyone who knew Dukakis and Flyover country, as I did having been raised in the latter and then moving to Massachusetts for college in 1979, knew it was very likely Dukakis was going to lose.

Oh, wow, here's a Wikipedia article worth looking at, "Historical polling for U.S. Presidential elections": https://en.wikipedia.org/wiki/Historical_polling_for_U.S._Pr...

Re:Facebook Must Really Suck At Machine Learning by mturmon on Friday November 18, 2016 @07:43PM (#12991252)
Well, there's one data point.
Re:Facebook Must Really Suck At Machine Learning by cderwin on Friday November 18, 2016 @09:20PM (#12991659)
For what it's worth, if a reasonable person can make a compelling case that a story is not fake news (i.e. if it is "arguable"), doesn't the question of whether it is "fake" or not boil down to a reader's inherent bias (an opinion, which is by definition not fake)?

Also, why not use a white list that includes outlets that sizable portions of facebook's user base seem to think are reliable? For example, include breitbart.com and motherjones.com, but exclude .tumblr.com and .wordpress.com.